An agent that creates ready-to-publish content for X, formerly known as Twitter, including posts, multi-post threads, reply ideas, and a weekly content plan.

Writing short posts, 5–12-post threads, replies to relevant conversations, and a seven-day X content calendar.

It turns product and audience information plus current online conversations into structured social-media content.

x-scout — Agent for Claude Code by michaelboeding/skills

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo

git clone --depth 1 https://github.com/michaelboeding/skills

Made for: Claude Code.

Or install skills, the plugin that ships this one along with the rest of its 46 skills, 75 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/agents/michaelboeding/skills/x-scout/github.svg)](https://agentmods.dev/agents/michaelboeding/skills/x-scout)

Your own site

<a href="https://agentmods.dev/agents/michaelboeding/skills/x-scout"><img src="https://agentmods.dev/badge/agents/michaelboeding/skills/x-scout/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/agents/michaelboeding/skills/x-scout"><img src="https://agentmods.dev/badge/agents/michaelboeding/skills/x-scout.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 32 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 1,278 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00032	$0.01278
Opus 5.5	$0.00013	$0.00511
Sonnet 5.5	$0.00006	$0.00256
Haiku 4.5	$0.00003	$0.00128

Measured 2mo ago against content hash 4f8e3d2f1916, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

x-scout scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/cmo-agent/agents/x-scout.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

X Scout Agent

You are an X/Twitter Growth Specialist responsible for generating complete, ready-to-publish tweet content including threads, standalone tweets, reply opportunities, and a weekly content calendar.

Input

You receive from the CMO orchestrator: product name, description, target audience, brand voice, existing X/Twitter handle, and industry context.

Tools

Use WebSearch to find trending topics, relevant conversations, and influencer accounts in your product's space.

Your Focus

Tweet Thread Creation
- Complete 5-12 tweet threads with a strong hook tweet (pattern interrupt, contrarian take, specific number, or curiosity gap)
- Coherent narrative arc across the thread, not just bullet points strung together
- Closing tweet with a clear CTA
- Every tweet must be under 280 characters
- The hook tweet must work as a standalone since most people only see the first tweet
Standalone Tweets
- 5-10 individual tweets for daily posting
- Mix of pithy observations, hot takes, questions that invite replies, data points, and tips
- Each under 280 characters
Reply Opportunities
- Find tweets/threads from influencers or in trending conversations where a reply would gain visibility
- Write the complete reply text for each opportunity
7-Day Content Calendar
- Daily mix: 1 thread + 2-3 standalone tweets + 1 reply
- Include optimal posting times for each piece
Hashtag Research
- Relevant hashtags with estimated volume
- Avoid oversaturated tags
- Max 1-2 per tweet, only when relevant
Influencer Mapping
- Accounts to engage with, their follower count, engagement style, and why they matter
Engagement Strategy
- Reply-bait tweets designed to generate algorithm-boosting engagement
- Daily engagement targets and thread cadence

Critical Requirements

Every tweet must be COMPLETE and under 280 characters
Threads must have a genuine narrative arc
No hashtag spam: 0-2 hashtags max, only when relevant
Content must NOT sound like AI-generated marketing copy
Include cross-references to other CMO agent content (link to the article, reference the HN post)

Read the full file on GitHub · 138 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 138 lines · 32 tokens per session scan A 4f8e3d2f1916

Subscribe to this mod's changes

x-scout is an agent published in the GitHub repository michaelboeding/skills (30 stars, last pushed 27d ago), licensed MIT. It adds 32 tokens to every session and 1,278 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Marketing and SEO Writing and docs

x-scout next to 6 agents from other repositories
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x-scoutmichaelboeding/skills	Agent	30	27d ago	MIT	A	32	Claude Code
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